Videco MCP Server for LlamaIndexGive LlamaIndex instant access to 10 tools to Check Videco Status, Create Campaign, Create Video, and more

Name: Videco
Price: 29 USD
Availability: InStock
Rating: 4.9 (1 reviews)
Author: Vinkius

GDPR Free for Subscribers

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Videco as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

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The Videco MCP Server for LlamaIndex is a standout in the Marketing Automation category — giving your AI agent 10 tools to work with, ready to go from day one.

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python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Videco. "
            "You have 10 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Videco?"
    )
    print(response)

asyncio.run(main())

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V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Videco MCP Server

Connect your Videco account to any AI agent and manage personalized videos, campaigns, leads, and analytics through natural conversation.

LlamaIndex agents combine Videco tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.

What you can do

Video Management u2014 Create, list, and review personalized videos from your template library
Campaign Management u2014 Create and monitor video campaigns with audience targeting and delivery metrics
Lead Tracking u2014 Access all leads captured from video interactions with engagement scores
Video Analytics u2014 View detailed metrics including views, watch time, drop-off points, and CTA click rates
Template-Based Creation u2014 Generate new personalized videos instantly from existing templates

The Videco MCP Server exposes 10 tools through the Vinkius. Connect it to LlamaIndex in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 10 Videco tools available for LlamaIndex

When LlamaIndex connects to Videco through Vinkius, your AI agent gets direct access to every tool listed below — spanning video-campaigns, personalized-video, lead-tracking, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

check

Check videco status on Videco

Verify Videco API connectivity

create

Create campaign on Videco

Create a campaign

create

Create video on Videco

Create a personalized video

get

Get campaign on Videco

Get campaign details

get

Get lead on Videco

Get lead details

get

Get video on Videco

Get video details

get

Get video analytics on Videco

Get video analytics

list

List campaigns on Videco

List all campaigns

list

List leads on Videco

List all leads

list

List videos on Videco

List all videos

Connect Videco to LlamaIndex via MCP

Follow these steps to wire Videco into LlamaIndex. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 10 tools from Videco

Why Use LlamaIndex with the Videco MCP Server

LlamaIndex provides unique advantages when paired with Videco through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Videco tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Videco tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Videco, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Videco tools were called, what data was returned, and how it influenced the final answer

Videco + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Videco MCP Server delivers measurable value.

Hybrid search: combine Videco real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Videco to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Videco for fresh data

Analytical workflows: chain Videco queries with LlamaIndex's data connectors to build multi-source analytical reports

Example Prompts for Videco in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Videco immediately.

"List all my personalized videos."

"Show analytics for video VID-2048."

"Create a campaign called 'Spring Launch' with video VID-2048."

Troubleshooting Videco MCP Server with LlamaIndex

Common issues when connecting Videco to LlamaIndex through Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Videco + LlamaIndex FAQ

Common questions about integrating Videco MCP Server with LlamaIndex.

How does LlamaIndex connect to MCP servers?

Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.

Can I combine MCP tools with vector stores?

Yes. LlamaIndex agents can query Videco tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.